Title :
Extending process monitoring by event recognition
Author :
Kockskämper, S. ; Neumann, B. ; Schick, M.
Author_Institution :
Hamburg Univ., Germany
Abstract :
Dealing with temporal aspects is one of the essential issues for the qualitative analysis of dynamic system behavior. This paper focuses on the recognition of situations defined by qualitative temporal relations in an incoming stream of quantitative sensor readings. We present an effective incremental recognition method based on hierarchical event structures and an algebraic treatment of temporal relations. The techniques are illustrated using example problems from the domain of driverless transport systems
Keywords :
identification; pattern recognition; temporal reasoning; time-varying systems; uncertainty handling; driverless transport systems; dynamic system; event recognition; hierarchical event structures; incremental recognition; process monitoring; qualitative analysis; qualitative temporal relations; quantitative sensor readings; situation recognition; temporal reasoning; uncertain data;
Conference_Titel :
Intelligent Systems Engineering, 1994., Second International Conference on
Conference_Location :
Hamburg-Harburg
Print_ISBN :
0-85296-621-0
DOI :
10.1049/cp:19940665